| --- |
| pretty_name: Talk 2 Harness Evaluation |
| license: other |
| language: [en, fr] |
| task_categories: [question-answering] |
| tags: [document-understanding, rag, agents, evaluation] |
| configs: |
| - config_name: questions |
| data_files: |
| - split: holdout |
| path: questions/holdout.parquet |
| - split: multi_hop |
| path: questions/multi_hop.parquet |
| - split: rag_misses |
| path: questions/rag_misses.parquet |
| - split: test |
| path: questions/test.parquet |
| - config_name: pages |
| data_files: |
| - split: train |
| path: pages/train.parquet |
| - config_name: answers |
| data_files: |
| - split: train |
| path: answers/train.parquet |
| --- |
| |
| # Talk 2 Harness Evaluation |
|
|
| Data behind the talk "Better Harness, Better Answers". One small model answered the same questions under different |
| harnesses, and every answer, score and tool call is here. Variant: **public**. |
|
|
| | Config | Rows | Content | |
| | --- | ---: | --- | |
| | questions | 50 | Question, gold answer, scoring rule, evidence pages. Splits follow the evaluation stages. | |
| | pages | 71 | Page image, converted Markdown, source URL, licence, the questions that selected the page. | |
| | answers | 3625 | Model, quantization, provider, seed, configuration, repeat, answer, score, tool calls, seconds, tokens, full tool trace. | |
|
|
| ## Evaluation stages |
|
|
| - `rag_misses`, `multi_hop`: validation questions. The agent was changed after reading their traces. |
| - `holdout`: ten questions held back from the first agent, then used to change the harness. Treat them as validation data |
| for any later revision. |
| - `test`: twenty questions selected before their first run. No harness change came from their results or traces. |
| Fifteen ran first as `holdout2`; five more were added to match the twenty validation questions. Validation and test search the same 531 pages. In `answers`, corpus `pages_validation` holds the validation runs and `pages_unseen` the test runs; `pages_multihop` holds earlier validation runs on 222 of those pages, where the harness was tuned. |
|
|
| ## Retrieval and models |
|
|
| - Embedding model: `qwen3-embedding:0.6b` in Ollama (Qwen/Qwen3-Embedding-0.6B, 1024 dimensions), 512-token chunks with |
| 50 overlap from LlamaIndex SentenceSplitter. |
| - Vector search: FAISS `IndexFlatIP`, an exact inner-product search over all chunks, top 5. |
| - BM25: bm25s. Hybrid fuses the top 20 of each ranking by reciprocal rank fusion (k = 60) and keeps 5. |
| - Page conversion: `maternion/LightOnOCR-3:0.8b` for pages with charts, images or little text, pymupdf4llm otherwise. |
| - Answer model: Qwen3.5-9B at temperature 0. Final runs use the 4-bit (fp4) weights on Darkbloom through OpenRouter, |
| `qwen/qwen3.5-9b`, three runs. Earlier runs use the nvfp4 weights in Ollama, `qwen3.5:9b`, one run. Each row of `answers` |
| names its `model`, `quantization`, `hosted_provider` and the `seed` sent; at temperature 0 the seed has little effect. |
| - Iterations: Trace Fixes is configuration `merged_grep_revision2`, Grep Token Reduction is `merged_grep_revision3`, and |
| Grep Token Reduction + Thinking is `merged_grep_revision3_thinking`. |
| - BM25 agent (`merged_bm25_loop`), BM25 agent + Thinking (`merged_bm25_loop_thinking`) and Hybrid agent |
| (`merged_fusion_loop`) are the grep agent with a ranked search tool, added after the test scores of the other |
| configurations were known. Hybrid means embedding + BM25 with reciprocal rank fusion, top 5. `text_bm25_loop` is BM25 in |
| the loop on PDF text. |
| - BM25 Token Reduction (`merged_bm25_excerpt_fixed_count`) puts BM25 search into the Grep Token Reduction agent, shows an |
| excerpt of 600 characters around the matching words and has no turn limit. `merged_bm25_excerpt_selected_count` lets the |
| model choose the passage count. `merged_bm25_token_reduction` and `merged_bm25_selected_count` are the first versions of |
| these two. All four were tuned on the validation questions and added after the test scores of the others were known. |
|
|
| ## Files |
|
|
| `files/` holds the PDF subset and Markdown of each document that permits redistribution. `files/document_index.tsv` |
| lists every document with its source URL, including those not hosted here. `pages.open_page_url` opens a page directly. |
|
|
| ## Scoring |
|
|
| `correct` is re-scored with the current rules at export. `match` holds the rule for each question. |
|
|
| ## Variant notes |
|
|
| Every question, gold answer, scoring rule, evidence quote, model answer and score is here. Five XL-DocBench questions, four of them in `test`, come from an earlier release of that benchmark. Pages with `redistribution` other than `permitted` are excluded, because their source licences do not allow copies; `source_url` and `open_page_url` lead to them. Tool outputs and prompts that reproduce those documents read `[omitted from the public variant: source licence]`. |
|
|
| ## Sources and attribution |
|
|
| - CUAD, The Atticus Project, CC BY 4.0, DOI 10.5281/zenodo.4595826. Contracts come from EDGAR. |
| - ViDoRe v3, annotations CC BY 4.0, arXiv 2601.08620. Each document has its own licence in the `licence` column. INSEE |
| documents: "Source : Insee". |
| - XL-DocBench, Microsoft, arXiv 2608.00036. Questions and answers come from the benchmark; it lists links to documents and grants no redistribution rights for them. |
|
|
| This card is a practical summary and not legal advice. |
|
|
